Health Systems最新文献_第4页

A configurable computer simulation model for reducing patient waiting time in oncology departments. 一种可配置的计算机模拟模型，用于减少肿瘤部门的患者等待时间。

IF 1.8

Health Systems Pub Date : 2023-01-01 DOI: 10.1080/20476965.2022.2030655

Roberto Rosario Corsini, Antonio Costa, Sergio Fichera, Alessandro Pluchino

{"title":"A configurable computer simulation model for reducing patient waiting time in oncology departments.","authors":"Roberto Rosario Corsini, Antonio Costa, Sergio Fichera, Alessandro Pluchino","doi":"10.1080/20476965.2022.2030655","DOIUrl":"https://doi.org/10.1080/20476965.2022.2030655","url":null,"abstract":"Nowadays, the increase in patient demand and the decline in resources are lengthening patient waiting times in many chemotherapy oncology departments. Therefore, enhancing healthcare services is necessary to reduce patient complaints. Reducing the patient waiting times in the oncology departments represents one of the main goals of healthcare managers. Simulation models are considered an effective tool for identifying potential ways to improve patient flow in oncology departments. This paper presents a new agent-based simulation model designed to be configurable and adaptable to the needs of oncology departments which have to interact with an external pharmacy. When external pharmacies are utilised, a courier service is needed to deliver the individual therapies from the pharmacy to the oncology department. An oncology department located in southern Italy was studied through the simulation model and different scenarios were compared with the aim of selecting the department configuration capable of reducing the patient waiting times.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"12 2","pages":"208-222"},"PeriodicalIF":1.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208172/pdf/THSS_12_2030655.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10195641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Efficiency of malaria service delivery in selected district-level hospitals in Ghana. 加纳选定的区级医院提供疟疾服务的效率。

IF 1.8

Health Systems Pub Date : 2023-01-01 DOI: 10.1080/20476965.2021.2015251

Jacob Novignon, Genevieve Aryeetey, Justice Nonvignon, Keziah Malm, Nana Yaw Peprah, Samuel Agyei Agyemang, Samuel Amon, Moses Aikins

{"title":"Efficiency of malaria service delivery in selected district-level hospitals in Ghana.","authors":"Jacob Novignon, Genevieve Aryeetey, Justice Nonvignon, Keziah Malm, Nana Yaw Peprah, Samuel Agyei Agyemang, Samuel Amon, Moses Aikins","doi":"10.1080/20476965.2021.2015251","DOIUrl":"https://doi.org/10.1080/20476965.2021.2015251","url":null,"abstract":"Malaria remains an important public health concern. Sub-Saharan African countries carry over 95% of the global burden. Unfortunately, there are also major resource constraints that have limited efforts to reduce the burden. Our study sought to estimate efficiency in the use of malaria resources and to identify potential determinants. We used primary data collected from district-level health facilities in three administrative regions in Ghana from 2014 to 2016. The Data Envelopment Analysis technique was used to estimate efficiency. The Malmquist productivity index was estimated and disaggregated to reflect the sources of productivity change. The findings show an average technical efficiency score of 0.61 with private facilities being more efficient. Productivity changes were driven by changes in technology/innovation advancements. Facility revenue mix and ownership type were important determinants of efficiency. The findings highlight the need to improve resource use in the delivery of specific services such as malaria.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"12 2","pages":"198-207"},"PeriodicalIF":1.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208147/pdf/THSS_12_2015251.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10248695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

A simulation model to analyse automation scenarios in decontamination centers. 用于分析净化中心自动化场景的仿真模型。

IF 1.8

Health Systems Pub Date : 2023-01-01 DOI: 10.1080/20476965.2021.2004933

Marzieh Ghiyasinasab, Nadia Lahrichi, Nadia Lehoux

引用次数: 0

A generic sustainable performance management system for hospital supply chain: design & analysis. 医院供应链通用可持续绩效管理系统：设计与分析。

IF 1.8

Health Systems Pub Date : 2022-12-29 eCollection Date: 2024-01-01 DOI: 10.1080/20476965.2022.2155256

Anas Ziat, Naoufal Sefiani, Hamid Azzouzi, Kamal Reklaoui

引用次数: 0

Identification of the risk factors of type 2 diabetes and its prediction using machine learning techniques. 2型糖尿病危险因素的识别及其使用机器学习技术的预测。

IF 1.8

Health Systems Pub Date : 2022-11-05 eCollection Date: 2023-01-01 DOI: 10.1080/20476965.2022.2141141

Md Merajul Islam, Md Jahanur Rahman, Md Menhazul Abedin, Benojir Ahammed, Mohammad Ali, N A M Faisal Ahmed, Md Maniruzzaman

{"title":"Identification of the risk factors of type 2 diabetes and its prediction using machine learning techniques.","authors":"Md Merajul Islam, Md Jahanur Rahman, Md Menhazul Abedin, Benojir Ahammed, Mohammad Ali, N A M Faisal Ahmed, Md Maniruzzaman","doi":"10.1080/20476965.2022.2141141","DOIUrl":"10.1080/20476965.2022.2141141","url":null,"abstract":"This study identified the risk factors for type 2 diabetes (T2D) and proposed a machine learning (ML) technique for predicting T2D. The risk factors for T2D were identified by multiple logistic regression (MLR) using p-value (p<0.05). Then, five ML-based techniques, including logistic regression, naïve Bayes, J48, multilayer perceptron, and random forest (RF) were employed to predict T2D. This study utilized two publicly available datasets, derived from the National Health and Nutrition Examination Survey, 2009-2010 and 2011-2012. About 4922 respondents with 387 T2D patients were included in 2009-2010 dataset, whereas 4936 respondents with 373 T2D patients were included in 2011-2012. This study identified six risk factors (age, education, marital status, SBP, smoking, and BMI) for 2009-2010 and nine risk factors (age, race, marital status, SBP, DBP, direct cholesterol, physical activity, smoking, and BMI) for 2011-2012. RF-based classifier obtained 95.9% accuracy, 95.7% sensitivity, 95.3% F-measure, and 0.946 area under the curve.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"12 2","pages":"243-254"},"PeriodicalIF":1.8,"publicationDate":"2022-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10208154/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9523971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Paving the way for increased e-health record use: elaborating intentions of Gen-Z 为增加电子健康记录的使用铺平道路：阐述Z世代的意图

IF 1.8

Health Systems Pub Date : 2022-10-03 DOI: 10.1080/20476965.2022.2129471

Gökhan Aydin, S. Kumru

引用次数: 3

Vision-based gait analysis for real-time Parkinson disease identification and diagnosis system. 基于视觉的帕金森病实时识别诊断系统步态分析

IF 1.2

Health Systems Pub Date : 2022-09-20 eCollection Date: 2024-01-01 DOI: 10.1080/20476965.2022.2125838

Sathya Bama B, Bevish Jinila Y

{"title":"Vision-based gait analysis for real-time Parkinson disease identification and diagnosis system.","authors":"Sathya Bama B, Bevish Jinila Y","doi":"10.1080/20476965.2022.2125838","DOIUrl":"10.1080/20476965.2022.2125838","url":null,"abstract":"Computer-assisted Parkinson's disease-specific gait pattern recognition has gained more attention in the past decade due to its extensive application. In this research study, vision-based gait feature extraction is obtained from the observed skeleton points to support the real-time Parkinson disease prediction and diagnosis in the smart healthcare environment. So, a novel kernel-based principal component analysis (KPCA) is introduced for establishing respective feature extraction and dimensionality reduction on the patient's video data. In this research study, a vision-based Parkinson disease identification system (VPDIS) is developed with a feature-weighted minimum distance classifier model to support the clinical assessment of Parkinson's disease. At the time of experimentation, a steady-state walking style of the patient was captured using the cameras fixed in the smart healthcare environment. Then, the accumulated walking frames from the remote patients were transformed into the required binary silhouettes for the sake of noise minimisation and compression purpose. The resulting experimentation shows that the proposed feature extraction approach has significant improvements on the recognition of target gait patterns from the video-based gait analysis of Parkinson's and normal patients. Accordingly, the proposed VPDIS using feature-weighted minimum distance classifier model provides better prediction time and classification accuracy against the existing healthcare systems that is developed using support vector machine and ensemble learning classifier models.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":" ","pages":"62-72"},"PeriodicalIF":1.2,"publicationDate":"2022-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11687389/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46303098","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Daily food planning for families under Covid-19: combining analytic hierarchy processes and linear optimisation. Covid-19 条件下的家庭日常食物规划：将层次分析法与线性优化相结合。

IF 1.2

Health Systems Pub Date : 2022-06-12 eCollection Date: 2022-01-01 DOI: 10.1080/20476965.2022.2080006

Leila Abuabara, Katarzyna Werner-Masters, Alberto Paucar-Caceres

{"title":"Daily food planning for families under Covid-19: combining analytic hierarchy processes and linear optimisation.","authors":"Leila Abuabara, Katarzyna Werner-Masters, Alberto Paucar-Caceres","doi":"10.1080/20476965.2022.2080006","DOIUrl":"10.1080/20476965.2022.2080006","url":null,"abstract":"In many households, preparation of food in normal times proves to be problematic, particularly when parents endeavour to keep their children on a balanced diet. The COVID-19 pandemic has further exacerbated this problem imposing the requirement of social distancing, which led to disruptions in the food supply chain and multiplication of responsibilities faced by families with children. The present study revisits the standard \"Diet Problem\" to address these challenges and to develop a participatory approach to provide a diversified weekly meal plan that is easy and fun but simultaneously complies with the unique requirements of each participant. This is done by providing a novel framework, which combines linear optimisation with the Parsimonious Analytic Hierarchy Process, a method for individual choices. This novel approach to participatory modelling is tested within two young family settings in Brazil. The model produced through this contemporary framework provides a weekly menu that best meets expectations of the members of a young family in the context of the COVID-19 pandemic.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"11 3","pages":"232-250"},"PeriodicalIF":1.2,"publicationDate":"2022-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/87/62/THSS_11_2080006.PMC9487970.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33477126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A three-step framework for capacity planning in a nursing home context 养老院容量规划的三步框架

IF 1.8

Health Systems Pub Date : 2022-05-21 DOI: 10.1080/20476965.2022.2062461

N. Dieleman, M. Buitink, René Bekker, Dennis Moeke

引用次数: 1

Contactless remote monitoring of sleep: evaluating the feasibility of an under-mattress sensor mat in a real-life deployment 睡眠的非接触式远程监控:评估床垫下传感器垫在现实生活中的可行性

IF 1.8

Health Systems Pub Date : 2022-05-08 DOI: 10.1080/20476965.2022.2072777

Ibrahim Sadek, B. Abdulrazak

{"title":"Contactless remote monitoring of sleep: evaluating the feasibility of an under-mattress sensor mat in a real-life deployment","authors":"Ibrahim Sadek, B. Abdulrazak","doi":"10.1080/20476965.2022.2072777","DOIUrl":"https://doi.org/10.1080/20476965.2022.2072777","url":null,"abstract":"ABSTRACT Sleep is so important, particularly for the elderly. The lack of sleep may increase the risk of cognitive decline. Similarly, it may also increase the risk of Alzheimer’s disease. Nonetheless, many people underestimate the importance of getting enough rest and sleep. In-laboratory polysomnography is the gold-standard method for assessing the quality of sleep. This method is considered impractical in the clinical environment, seen as labour-intensive and expensive owing to its specialised equipment, leading to long waiting lists. Hence, user-friendly (remote and non-intrusive) devices are being developed to help patients monitor their sleep at home. In this paper, we first discuss commercially-available non-wearable devices that measure sleep, in which we highlight the features associated with each device, including sensor type, interface, outputs, dimensions, power supply, and connectivity. Second, we evaluate the feasibility of a non-wearable device in a free-living environment. The deployed device comprises a sensor mat with an integrated micro-bending multimode fibre. Raw sensor data were gathered from five senior participants living in a senior activity centre over a few to several weeks. We were able to analyse the participants’ sleep quality using various sleep parameters deduced from the sensor mat. These parameters include the wake-up time, bedtime, the time in bed, nap time. Vital signs, namely heart rate, respiratory rate, and body movements, were also reported to detect abnormal sleep patterns. We have employed pre-and post-surveys reporting each volunteer’s sleep hygiene to confirm the proposed system’s outcomes for detecting the various sleep parameters. The results of the system were strongly correlated with the surveys for reporting each sleep parameter. Furthermore, the system proved to be highly effective in detecting irregular patterns that occurred during sleep.","PeriodicalId":44699,"journal":{"name":"Health Systems","volume":"1 1","pages":""},"PeriodicalIF":1.8,"publicationDate":"2022-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41814214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1